Best Big Data Integration Platforms for Small Business

How Many Big Data Integration Platforms Products Does G2 Track?

Total Products under this Category: 134

Category Stats (Sep 2026)

  • Average Rating: 4.51/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Cloudera (+2.13%) - Among all products in this category, Cloudera recorded the largest rating increase compared to last month

Last updated: September 15, 2026

How Does G2 Rank Big Data Integration Platforms Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 10,800+ Authentic Reviews
  • 134+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Big Data Integration Platforms

G2 Grid® for Big Data Integration Platforms plotting products by satisfaction and market presence

Highlighted products: Alteryx, Google Cloud BigQuery, Fivetran, Informatica Data Integration and Engineering, Snowflake, dbt, Workato, and 5X.

Underlying data: [Grid® JSON](https://www.g2.com/categories/big-data-integration-platforms/grids.json?focus%5B%5D=alteryx&focus%5B%5D=google-cloud-bigquery&focus%5B%5D=fivetran&focus%5B%5D=informatica-data-integration-and-engineering&focus%5B%5D=snowflake&focus%5B%5D=dbt&focus%5B%5D=workato&focus%5B%5D=5x&segment=small-business)

Alteryx

Alteryx is the agentic analytics and automation company that helps organizations turn complex data into trusted insights, decisions, and action. Built for the people closest to the business, the Alteryx One platform is designed to work across an organization’s existing data and technology ecosystem. It enables business users to produce AI-ready datasets and define, maintain, and update business logic into visual workflows that AI uses to automate operations and insights. This business logic stays visible, understandable, repeatable, and auditable (VURA), so that teams can automate data-intensive workflows without coding. Alteryx closes the last-mile gap between data platforms and the decisions and operations that run the business—giving AI the trusted business context it needs to deliver reliable results. Over 8,000 customers worldwide, including more than half of the Global 2000, rely on Alteryx to improve revenue performance, manage costs, increase operational efficiency, and reduce risk. Collectively, they run more than 380 million workflows on Alteryx each year.

Average Rating: 4.6/5.0

Total Reviews: 863

How Do G2 Users Rate Alteryx?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.9/10)
  • Quality of Support: 8.5/10 (Category avg: 8.9/10)
  • Ease of Use: 8.7/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Alteryx?

  • Seller: Alteryx
  • Company Website:
  • Year Founded: 1997
  • HQ Location: Irvine, CA
  • Twitter: @alteryx
    26,149 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,312 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Analyst
  • Top Industries: Financial Services, Accounting
  • Company Size: 63% Large, 21% Medium

What Do G2 Reviewers Say About Alteryx?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use in Alteryx, finding it simple to automate tasks with drag and drop functionality.
  • Users value the automation capabilities of Alteryx, streamlining data processes and enhancing analytical efficiency.
  • Users find Alteryx to be very intuitive, making it easy for non-technical users to learn and utilize.
  • Users find that Alteryx's interface makes learning technology easy for everyone, even those without a tech background.
  • Users value Alteryx for its efficiency in managing data, streamlining workflows, and enhancing overall productivity.
Cons
  • Users highlight the expensive pricing of Alteryx, making it difficult for small teams or startups to afford licenses.
  • Users face a steep learning curve with Alteryx, requiring time to master its complex features.
  • Users find that Alteryx suffers from missing features, such as lack of direct database access and limited reporting tools.
  • Users find the learning difficulty of Alteryx steep, especially for those unfamiliar with RegEx and SQL.
  • Users experience slow performance with Alteryx, particularly when handling large workflows and during data wrangling tasks.

What Are Recent G2 Reviews of Alteryx?

Google Cloud BigQuery

BigQuery is an AI-ready, petabyte-scale, and cost-effective data warehouse that lets you run analytics over vast amounts of data in near real time. Store 10 GiB of data and run up to 1 TiB of queries for free per month.

Average Rating: 4.5/5.0

Total Reviews: 1,144

How Do G2 Users Rate Google Cloud BigQuery?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 8.9/10)
  • Quality of Support: 8.3/10 (Category avg: 8.9/10)
  • Ease of Use: 8.7/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.5/10 (Category avg: 8.6/10)

Who Is the Company Behind Google Cloud BigQuery?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • Twitter: @google
    31,899,995 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    301,144 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 38% Large, 35% Medium

What Do G2 Reviewers Say About Google Cloud BigQuery?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Google Cloud BigQuery, enabling fast analysis without needing to manage infrastructure.
  • Users appreciate the incredible speed of BigQuery, making data processing effortless and efficient for large datasets.
  • Users value the seamless integrations of Google Cloud BigQuery, enhancing analytics and supporting various data types effortlessly.
  • Users appreciate the fast querying capabilities of Google Cloud BigQuery, enabling quick analysis of massive datasets effortlessly.
  • Users value the query efficiency of BigQuery, enabling fast analysis of massive datasets with minimal effort.
Cons
  • Users find the cost structure expensive, especially with complex queries leading to rapidly escalating charges.
  • Users often face query issues with BigQuery, as inefficient queries can rapidly increase costs and complicate budgeting.
  • Users find the cost management challenging, facing unpredictable pricing and needing strict governance to maintain budgets.
  • Users face cost issues with Google Cloud BigQuery, often leading to unexpectedly high bills and budget management challenges.
  • Users find the steep learning curve for advanced features challenging, requiring significant time and effort to master.

What Are Recent G2 Reviews of Google Cloud BigQuery?

What Are G2 Users Discussing About Google Cloud BigQuery?

Fivetran

Fivetran is the data foundation for AI. One platform moves, manages, and transforms data from every application, database, event stream, and file your business runs on into a governed foundation that analytics, operations, and AI can act on. Connectors deploy in minutes, run themselves, and adjust automatically when a source changes, so your data team spends its time building, not maintaining pipelines.

Average Rating: 4.3/5.0

Total Reviews: 824

How Do G2 Users Rate Fivetran?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 8.9/10)
  • Quality of Support: 8.5/10 (Category avg: 8.9/10)
  • Ease of Use: 9.0/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.8/10 (Category avg: 8.6/10)

Who Is the Company Behind Fivetran?

  • Seller: Fivetran
  • Company Website:
  • Year Founded: 2012
  • HQ Location: Oakland, CA
  • Twitter: @fivetran
    5,767 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,902 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 59% Medium, 27% Small

What Do G2 Reviewers Say About Fivetran?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of integration and maintenance with Fivetran, enhancing their ROI and workflow efficiency.
  • Users value the easy setup of Fivetran, appreciating its seamless integration with existing applications.
  • Users value the easy integration of Fivetran, seamlessly connecting with existing applications and enhancing data access.
  • Users value the responsive customer support from Fivetran, enhancing their overall experience and satisfaction.
  • Users appreciate the intuitive and simple layout of Fivetran, making data management efficient and accessible.
Cons
  • Users report experiencing sync issues that disrupt functionality, causing unpredictable failures and complications in workflow management.
  • Users find Fivetran's pricing to be quite expensive, which limits accessibility and flexibility for wider usage.
  • Users face integration issues with Fivetran, particularly regarding schema ownership and modifying connections amidst platform changes.
  • Users find the learning curve steep, requiring technical knowledge to navigate Fivetran effectively at first.
  • Users find Fivetran's pricing issues hinder accessibility and flexibility, making it less feasible for broader use.

What Are Recent G2 Reviews of Fivetran?

What Are G2 Users Discussing About Fivetran?

Informatica Data Integration and Engineering

Cloud Data Integration (CDI) is a comprehensive, AI-powered ETL and ELT solution designed to easily move, transform, and synchronize data between various sources and target systems across any cloud, anywhere, at scale. Built on a modern technology stack, CDI offers easy, efficient and cost-effective data ingestion, transformation, synchronization, and replication for a multi-cloud and serverless world for everyone and everywhere. It covers diverse integration patterns, ensuring you have well-architected and seamlessly automated data pipelines for all your advanced analytics and AI needs.

Average Rating: 4.3/5.0

Total Reviews: 309

How Do G2 Users Rate Informatica Data Integration and Engineering?

  • Has the product been a good partner in doing business?: 8.4/10 (Category avg: 8.9/10)
  • Quality of Support: 8.3/10 (Category avg: 8.9/10)
  • Ease of Use: 8.4/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.1/10 (Category avg: 8.6/10)

Who Is the Company Behind Informatica Data Integration and Engineering?

  • Seller: Informatica
  • Company Website:
  • Year Founded: 1993
  • HQ Location: Redwood City, CA
  • Twitter: @Informatica
    99,643 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,473 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 57% Large, 28% Medium

What Do G2 Reviewers Say About Informatica Data Integration and Engineering?

AI-generated summary from verified user reviews

Pros
  • Users find Informatica Data Integration's ease of use remarkable, favoring its intuitive interface and drag-and-drop functionality.
  • Users value the efficiency of Informatica Data Integration, enabling reliable and scalable ETL processes seamlessly.
  • Users value the ease of use and extensive connectivity of Informatica Cloud Data Integration for efficient ETL processes.
  • Users value the time-saving capabilities of Informatica Data Integration, benefiting from efficient cloud access and automation.
  • Users appreciate the automation features of Informatica Data Integration, enhancing efficiency in data workflows and scheduling.
Cons
  • Users find the complexity of setup and configuration challenging, particularly for beginners navigating the platform.
  • Users find the complex usability of Informatica Data Integration challenging, especially during setup and performance optimization.
  • Users find that debugging can be difficult, as it often requires significant effort and expertise to manage effectively.
  • Users find the difficult setup process challenging, especially for newcomers to the Informatica platform.
  • Users find the error messages frustrating and lacking documentation, complicating their experience with the tool.

What Are Recent G2 Reviews of Informatica Data Integration and Engineering?

What Are G2 Users Discussing About Informatica Data Integration and Engineering?

Snowflake

Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applications, and power their business with AI. The era of enterprise AI is here. Learn more at snowflake.com (NYSE: SNOW).

Average Rating: 4.6/5.0

Total Reviews: 713

How Do G2 Users Rate Snowflake?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 8.9/10)
  • Quality of Support: 8.7/10 (Category avg: 8.9/10)
  • Ease of Use: 9.0/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.7/10 (Category avg: 8.6/10)

Who Is the Company Behind Snowflake?

  • Seller: Snowflake, Inc.
  • Company Website:
  • Year Founded: 2012
  • HQ Location: 135 Constitution Drive, Menlo Park CA
  • Twitter: @SnowflakeDB
    278 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    12,574 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 45% Medium, 42% Large

What Do G2 Reviewers Say About Snowflake?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Snowflake, which simplifies data sharing and enhances productivity across teams.
  • Users value the reliable features and user-friendly interface of Snowflake, enhancing data management and analytics efficiency.
  • Users appreciate the ease of use and efficient data integration in Snowflake for their warehousing projects.
  • Users value the seamless scalability of Snowflake, enabling efficient handling of large datasets and workload changes without performance loss.
  • Users value the fast and efficient data processing capabilities of Snowflake, enhancing their analysis experience significantly.
Cons
  • Users highlight the high costs of Snowflake, making it less accessible for smaller businesses with limited budgets.
  • Users find feature limitations in Snowflake, such as lack of code blocks and restricted permissions, frustrating.
  • Users find the learning curve steep, requiring training due to its complexity and overwhelming interface for beginners.
  • Users often struggle with high costs due to unoptimized queries and inadequate cost control measures in Snowflake.
  • Users find the cost structure challenging, requiring time to optimize for efficient use of Snowflake.

What Are Recent G2 Reviews of Snowflake?

What Are G2 Users Discussing About Snowflake?

dbt

dbt is a transformation workflow that lets data teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines.

Average Rating: 4.7/5.0

Total Reviews: 208

How Do G2 Users Rate dbt?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 8.9/10)
  • Quality of Support: 8.8/10 (Category avg: 8.9/10)
  • Ease of Use: 9.0/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.5/10 (Category avg: 8.6/10)

Who Is the Company Behind dbt?

  • Seller: Fivetran
  • Year Founded: 2012
  • HQ Location: Oakland, CA
  • Twitter: @fivetran
    5,767 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,902 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Analytics Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 56% Medium, 27% Small

What Do G2 Reviewers Say About dbt?

AI-generated summary from verified user reviews

Pros
  • Users find dbt's ease of use exceptional, with straightforward setup and intuitive features enhancing their data transformation processes.
  • Users appreciate the maintainability and clarity of dbt's SQL code base, enhancing collaboration and data transformations.
  • Users value the automation of data workflows with dbt, enhancing maintainability and collaboration in SQL transformations.
  • Users love the ease of transforming data with dbt, allowing for organized and efficient analytics workflows.
  • Users value the data quality of dbt, praising its effectiveness in ensuring data integrity and operational efficiency.
Cons
  • Users find that dbt has limited functionality due to rigidness and complex debugging, hindering project progress.
  • Users face dependency issues in dbt, as model errors and upstream changes complicate troubleshooting and disrupt workflows.
  • Users find the steep learning curve of dbt daunting, needing mastery of concepts like Jinja and Git.
  • Users encounter poor error handling with unclear messages, making troubleshooting frustrating and complicating the user experience.
  • Users often face confusing error reporting and unclear messages, making troubleshooting and identifying issues challenging.

What Are Recent G2 Reviews of dbt?

What Are G2 Users Discussing About dbt?

Workato

Workato is the #1-rated iPaaS and the leader in Enterprise MCP — the platform enterprises trust to unify integration, automation, and AI in one secure, cloud-native runtime. Trusted by over 12,000 customers including half the Fortune 500, Workato connects every system, process, and data source with 14,000+ pre-built connectors. What sets Workato apart: Enterprise MCP turns proven business processes into governed, agent-ready skills that any AI agent — Claude, ChatGPT, Cursor, or custom-built — can execute safely and predictably. No rip-and-replace required. Whether modernizing legacy integrations or deploying agentic AI at scale, Workato delivers the orchestration, governance, and trust needed in the enterprise.

Average Rating: 4.7/5.0

Total Reviews: 763

How Do G2 Users Rate Workato?

  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 8.9/10)
  • Quality of Support: 9.2/10 (Category avg: 8.9/10)
  • Ease of Use: 9.0/10 (Category avg: 8.9/10)
  • Ease of Admin: 9.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Workato?

  • Seller: Workato
  • Company Website:
  • Year Founded: 2013
  • HQ Location: Mountain View, California
  • Twitter: @Workato
    3,641 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,466 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 43% Medium, 33% Large

What Do G2 Reviewers Say About Workato?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Workato, enabling quick automation without needing technical expertise.
  • Users love the easy integrations with Workato, allowing quick automation of tools like Salesforce and Slack.
  • Users love how Workato's easy integrations simplify automation, saving them hours and making processes seamless.
  • Users value the user-friendly and low-code interface of Workato, making business process automation seamless and efficient.
  • Users appreciate the ease of automation with Workato, enabling seamless integrations and saving significant time on repetitive tasks.
Cons
  • Users often find the complexity of Workato overwhelming, particularly regarding pricing and onboarding, leading to confusion.
  • Users find the learning curve steep, with complexity and confusion hindering smooth onboarding and workflow management.
  • Users are frustrated by data limitations in Workato, impacting email sends, job reporting, and large file transfers.
  • Users find the missing features in Workato's connector library limit their integration capabilities with lesser-known applications.
  • Users find the steep learning curve of Workato daunting, especially during onboarding and initial usage.

What Are Recent G2 Reviews of Workato?

What Are G2 Users Discussing About Workato?

5X

5X is an end-to-end data and AI platform. The platform organizes your data regardless of source or format. Whether you have a dedicated data team or not, our platform
transforms fragmented data into actionable insights and apps. The customer feedback we get most often is, "This is self-explanatory," and "It's super easy to use." And that is exactly what our goal was—to create a powerful, all-in-one platform that's incredibly easy to use.  The modern data stack has evolved. It's no longer about stitching together vendors. The next-generation modern data stack is an all-in-one platform that offers speed, simplicity, and decreased cost of ownership. That's exactly what we have created at 5X. Companies use 5X for multiple reasons: 1) Speed & productivity. All-in-one data platforms are incredibly efficient. We've seen companies build use cases on day 1.  Contact us to see if you qualify for a free 48 hour jumpstart! 🚀 2) Decrease your total cost of ownership by 30% compared to building your own platform. This doesn't account the people hours needed to support a platform build 🤯 3) Use our full stack data consultancy for support on data engineering & analytics 👨‍💻 5X was founded in 2020 with presence in the USA, Singapore, UK and India. Our global team is 70+ people strong and rapidly growing. We’ve recently raised our seed round from Flybridge Capital and backed by top founders from companies like Datadog, Preset, Astronomer, Mode, Rudderstack and other prominent angel investors. For more information, visit 5X.co We don't just talk about speed and simplicity; we back it up with proof. Speak to us about our 48-hour jumpstart where we can build an end-to-end use case for you in 48 hours for free.

Average Rating: 4.9/5.0

Total Reviews: 81

How Do G2 Users Rate 5X?

  • Has the product been a good partner in doing business?: 9.8/10 (Category avg: 8.9/10)
  • Quality of Support: 9.8/10 (Category avg: 8.9/10)
  • Ease of Use: 9.5/10 (Category avg: 8.9/10)
  • Ease of Admin: 9.6/10 (Category avg: 8.6/10)

Who Is the Company Behind 5X?

  • Seller: 5X
  • Year Founded: 2020
  • HQ Location: San Francisco
  • Twitter: @DataWith5x
    49 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    104 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Financial Services
  • Company Size: 56% Medium, 40% Small

What Do G2 Reviewers Say About 5X?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of 5X, thanks to its intuitive interface and seamless integration with existing tools.
  • Users appreciate the responsive customer support of 5X, enhancing their overall experience with swift feature updates.
  • Users value the seamless integration capabilities of 5X, enhancing efficiency in managing diverse data sources effortlessly.
  • Users value the easy integrations of 5X, which enhance their data ingestion processes and overall operational efficiency.
  • Users value the seamless integration and intuitive design of 5X, enabling efficient data management and automation.
Cons
  • New users face a steep learning curve, but training helps ease the transition to the platform's features.
  • Users find the setup process complex, leading to delays and challenges in implementing advanced features and workflows.
  • Users find a steep learning curve initially, but become proficient with training and support over time.
  • Users find the difficult setup of 5X challenging due to complexity and a steep learning curve.
  • Users note the feature limitations of 5X, as some advanced options are still in development and may require patience.

What Are Recent G2 Reviews of 5X?

Maia

Maia is an AI Data Automation platform powered by autonomous AI agents that build, maintain, and evolve data products, thus eliminating manual data work. Maia empowers CDAOs and enterprise data teams to deliver data products at machine scale while maintaining governance. Its integrated platform combines specialized agents in Maia Team, grounded in the organizational data intelligence of the Maia Context Engine and executed through the governed data tools of Maia Foundation. Organizations like EDF, St. James’ Place, and Nature’s Touch use Maia to automate data work at scale, modernize platforms, and accelerate AI roadmaps without expanding headcount. See Maia for yourself.

Average Rating: 4.5/5.0

Total Reviews: 121

How Do G2 Users Rate Maia?

  • Has the product been a good partner in doing business?: 8.4/10 (Category avg: 8.9/10)
  • Quality of Support: 8.6/10 (Category avg: 8.9/10)
  • Ease of Use: 9.0/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Maia?

  • Seller: Matillion
  • Company Website:
  • Year Founded: 2011
  • HQ Location: Salford, GB
  • Twitter: @matillion
    7,362 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    463 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 46% Medium, 31% Large

What Do G2 Reviewers Say About Maia?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Maia, making configuration and understanding features accessible for all users.
  • Users value the seamless automation of Matillion, enhancing efficiency and simplifying the ETL process effortlessly.
  • Users find Matillion’s intuitive interface simplifies complex tasks, making it accessible and efficient for all users.
  • Users appreciate the simple and user-friendly interface of Matillion, making ETL processes effortless for everyone.
  • Users appreciate Matillion's intuitive interface that simplifies complex tasks and enhances user comfort for all experience levels.
Cons
  • Users face feature limitations in Maia, impacting job performance and complicating template reusability efforts.
  • Users face performance issues with Jython and single-thread limitations, while cloud features are lacking compared to the server version.
  • Users express concern over cloud dependency, facing challenges with limited customization and additional costs at scale.
  • Users find Maia to be expensive, especially as data volume increases and costs can accumulate quickly.
  • Users report API limitations in Maia, particularly lacking administrative access features and raw data export options.

What Are Recent G2 Reviews of Maia?

What Are G2 Users Discussing About Maia?

Skyvia

Skyvia is a no-code cloud data integration and data pipeline platform that enables ETL, ELT, Reverse ETL, data migration, one-way and bi-directional data sync, workflow automation, real-time connectivity, and much more. Benefits of Using Skyvia: • Cost efficiency: With affordable, flexible pricing plans for each product, Skyvia suites for businesses of any size. • Ease of Use: Based on extensive customer feedback, ease of use is Skyvia's strongest quality. • Flexibility: Skyvia provides adaptable, no-code integration tools for both basic and advanced business scenarios. • Trust: Skyvia is trusted by thousands of data-driven organizations around the globe. With a vast library of 200+ connectors, Skyvia provides seamless integration among various cloud applications, databases, and data warehouses, including Salesforce, Dynamics CRM, QuickBooks Online, SQL Server, Amazon Redshift, Google BigQuery, and others.

Average Rating: 4.8/5.0

Total Reviews: 321

How Do G2 Users Rate Skyvia?

  • Has the product been a good partner in doing business?: 9.3/10 (Category avg: 8.9/10)
  • Quality of Support: 9.3/10 (Category avg: 8.9/10)
  • Ease of Use: 9.3/10 (Category avg: 8.9/10)
  • Ease of Admin: 9.4/10 (Category avg: 8.6/10)

Who Is the Company Behind Skyvia?

  • Seller: Devart
  • Year Founded: 1997
  • HQ Location: Wilmington, Delaware, USA
  • Twitter: @DevartSoftware
    1,736 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    251 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: CEO, CTO
  • Top Industries: Information Technology and Services, Marketing and Advertising
  • Company Size: 52% Small, 41% Medium

What Do G2 Reviewers Say About Skyvia?

AI-generated summary from verified user reviews

Pros
  • Users value the intuitive interface of Skyvia, making data integration tasks quick and straightforward.
  • Users appreciate the easy integrations provided by Skyvia, enhancing their workflow across multiple platforms effortlessly.
  • Users find the easy setup of Skyvia invaluable, making data integration straightforward and hassle-free for teams.
  • Users laud the easy setup of Skyvia, making integration fast and user-friendly without any coding required.
  • Users value the easy integrations provided by Skyvia, making complex connections simple and efficient.
Cons
  • Users note an information deficiency in Skyvia, citing a lack of detailed documentation and insufficient logging for troubleshooting.
  • Users find the difficult setup of Skyvia challenging, especially with large datasets and complex integrations.
  • Users find the learning curve steep initially, needing time to fully grasp the platform's functionalities.
  • Users find the poor documentation of Skyvia limits effective use, suggesting improvements for clarity and real-world examples.
  • Users face setup difficulties with large datasets and field mapping, which may require extra time and effort.

What Are Recent G2 Reviews of Skyvia?

What Are G2 Users Discussing About Skyvia?

Weld

Weld delivers an ultra-fast, secure, and reliable way to move data from all your tools, applications, and databases into cloud data warehouses, such as Snowflake, BigQuery, and Databricks. Deploy data pipelines in minutes with connectors that adapt to schema changes, detect duplicates, self-heal on failure, and run without maintenance, so your data team can focus on insights, not infrastructure.

Average Rating: 4.8/5.0

Total Reviews: 107

How Do G2 Users Rate Weld?

  • Has the product been a good partner in doing business?: 9.7/10 (Category avg: 8.9/10)
  • Quality of Support: 9.6/10 (Category avg: 8.9/10)
  • Ease of Use: 8.8/10 (Category avg: 8.9/10)
  • Ease of Admin: 9.1/10 (Category avg: 8.6/10)

Who Is the Company Behind Weld?

  • Seller: Weld
  • Company Website:
  • Year Founded: 2021
  • HQ Location: Copenhagen, DK
  • Twitter: @WeldHQ
    98 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    94 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: CEO
  • Top Industries: Computer Software, Retail
  • Company Size: 58% Small, 41% Medium

What Do G2 Reviewers Say About Weld?

AI-generated summary from verified user reviews

Pros
  • Users praise the excellent customer support of Weld, noting quick resolutions and a highly responsive team.
  • Users admire the ease of use of Weld, appreciating its seamless integration and intuitive setup process.
  • Users praise Weld's automation capabilities, enabling efficient data integration and analysis with minimal technical expertise required.
  • Users appreciate the exceptional support from Weld, along with its easy setup and helpful AI assistant features.
  • Users value the easy implementation and seamless integration of Weld, significantly enhancing their workflow and efficiency.
Cons
  • Users find the limited connectors on the basic plan restrictive, though many needs are still met with Weld.
  • Users find the connector limitations in Weld's basic plan restrictive, impacting their ability to integrate fully.
  • Users find the limited integrations in Weld somewhat restrictive, affecting their connectivity and experience.
  • Users find complex setup challenging, especially in tracking properties and debugging intricate queries effectively.
  • Users experience occasional connection issues with Weld that can impact sync reliability and require manual adjustments.

What Are Recent G2 Reviews of Weld?

Elastic Stack

The Elastic Stack, commonly known as the ELK Stack, is a comprehensive suite of open-source tools designed for ingesting, storing, analyzing, and visualizing data in real-time. It comprises Elasticsearch, Kibana, Beats, and Logstash, enabling users to handle data from any source and in any format efficiently. Key Features and Functionality: - Elasticsearch: A distributed, JSON-based search and analytics engine that allows for rapid storage, search, and analysis of large volumes of data. - Kibana: An extensible user interface that provides powerful visualizations, dashboards, and management tools to interpret and present data effectively. - Beats and Logstash: Data ingestion tools that collect and process data from various sources, transforming and forwarding it to Elasticsearch for indexing. - Integrations: A multitude of pre-built integrations that facilitate seamless data collection and connection with the Elastic Stack, enabling quick insights. Primary Value and User Solutions: The Elastic Stack empowers organizations to harness the full potential of their data by providing a scalable and resilient platform for real-time search and analytics. It addresses challenges such as managing large datasets, ensuring high availability, and delivering relevant search results swiftly. By offering a unified solution for data ingestion, storage, analysis, and visualization, the Elastic Stack enables users to gain actionable insights, enhance operational efficiency, and make informed decisions based on their data.

Average Rating: 4.5/5.0

Total Reviews: 104

How Do G2 Users Rate Elastic Stack?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.9/10)
  • Quality of Support: 8.2/10 (Category avg: 8.9/10)
  • Ease of Use: 8.0/10 (Category avg: 8.9/10)
  • Ease of Admin: 7.4/10 (Category avg: 8.6/10)

Who Is the Company Behind Elastic Stack?

  • Seller: Elastic
  • Year Founded: 2012
  • HQ Location: San Francisco, CA
  • Twitter: @elastic
    65,200 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    10,457 employees on LinkedIn®
  • Ownership: NYSE: ESTC

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 47% Medium, 34% Large

What Do G2 Reviewers Say About Elastic Stack?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Elastic Stack, enabling quick correlation and understanding of system behavior.
  • Users value the flexibility of Elastic Stack for its customization, integration, and deployment options across various environments.
  • Users appreciate the unified log management that allows for quicker issue correlation and comprehensive system understanding.
  • Users praise the fast and scalable real-time search of Elastic Stack, enhancing their ability to analyze data efficiently.
  • Users value the versatility of Elastic Stack, seamlessly integrating various tools for flexible data management and visualization.
Cons
  • Users note the resource management challenges in Elastic Stack, requiring expertise to maintain performance and stability.
  • Users find the complexity issues of Elastic Stack demanding, requiring significant expertise to manage effectively and maintain performance.
  • Users find the cost of resources for Elastic Stack to be significant, especially at scale and for advanced features.
  • Users find that High Memory Usage in Elastic Stack can lead to increased costs and management complexities at scale.
  • Users find the steep learning curve of Elastic Stack challenging, requiring significant experience for effective management and optimization.

What Are Recent G2 Reviews of Elastic Stack?

What Are G2 Users Discussing About Elastic Stack?

Coefficient

Coefficient is a new way to work with your company data better, faster, and more accurately without ever leaving your spreadsheet, integrating with the tools you already use. Install the Coefficient Excel or Google Sheets extension and use it in a new or existing sheet in seconds. Once installed, Coefficient lives as a sidebar companion so your company data is only a couple of clicks away at any time. Any data source that you work with is available directly in your Coefficient sidebar – such as Salesforce, HubSpot, Snowflake, NetSuite, QuickBooks, MySQL, and Looker – with the ability to consolidate your data from multiple systems into one spreadsheet. Use Coefficient filters to easily customize your imports to only work with the data you need, keeping your spreadsheets performant. Quickly go back anytime to add more data in the same report. Never rebuild the same analysis twice by keeping your data up to date with scheduled updates. And, use Coefficient alerts to trigger Slack or email messages anytime your spreadsheet updates. Now, you can turn your spreadsheet into the most flexible, powerful monitoring system across all of your company data. Say “goodbye” to manual data workflows and “hello” to connected spreadsheets.

Average Rating: 4.7/5.0

Total Reviews: 202

How Do G2 Users Rate Coefficient?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 8.9/10)
  • Quality of Support: 9.0/10 (Category avg: 8.9/10)
  • Ease of Use: 9.2/10 (Category avg: 8.9/10)
  • Ease of Admin: 9.2/10 (Category avg: 8.6/10)

Who Is the Company Behind Coefficient?

  • Seller: Coefficient
  • Company Website:
  • Year Founded: 2020
  • HQ Location: Palo Alto, CA
  • Twitter: @coefficient_io
    346 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    70 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 46% Medium, 36% Small

What Do G2 Reviewers Say About Coefficient?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Coefficient, enjoying seamless data extraction and hassle-free synchronization across tools.
  • Users value the automation capabilities of Coefficient, making data management effortless and efficient.
  • Users appreciate the seamless integrations of Coefficient, enabling effortless data flow between systems like Salesforce and QuickBooks.
  • Users value the time-saving automation of Coefficient, reclaiming hours in their weekly reporting tasks.
  • Users find easy integrations with Coefficient seamless, enhancing productivity and simplifying their data workflow considerably.
Cons
  • Users find the limited filtering options in Coefficient restrictive and detrimental to their data analysis experience.
  • Users find the feature limitations of Coefficient frustrating, particularly with filtering and integration challenges.
  • Users find the limit of Google Sheets for multiple filters and imports restricts their data management capabilities.
  • Users find the missing features in Coefficient limiting, especially with filters and integrating charts from SFDC.
  • Users face integration issues with Coefficient, leading to frustrating limitations when connecting to other tools and systems.

What Are Recent G2 Reviews of Coefficient?

Astro by Astronomer

For data teams looking to increase the availability of trusted data, Astronomer provides Astro, the modern data orchestration platform, powered by Airflow. Astro enables data engineers, data scientists, and data analysts to build, run, and observe pipelines-as-code. Astronomer is the driving force behind Apache Airflow™, the de facto standard for expressing data flows as code. Airflow is downloaded more than 31 million times each month and is used by hundreds of thousands of teams around the world.

Average Rating: 4.5/5.0

Total Reviews: 135

How Do G2 Users Rate Astro by Astronomer?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 8.9/10)
  • Quality of Support: 8.9/10 (Category avg: 8.9/10)
  • Ease of Use: 9.0/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.8/10 (Category avg: 8.6/10)

Who Is the Company Behind Astro by Astronomer?

  • Seller: Astronomer
  • Company Website:
  • Year Founded: 2018
  • HQ Location: New York, US
  • Twitter: @astronomerio
    19,697 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4,513 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Senior Data Engineer
  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 47% Medium, 38% Large

What Do G2 Reviewers Say About Astro by Astronomer?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Astro, finding it intuitive and effective for managing complex workflows.
  • Users appreciate the efficiency improvements of Astro, simplifying workflows and reducing the need for dedicated DevOps resources.
  • Users appreciate the intuitive user interface of Astro, facilitating easy monitoring and management of complex workflows.
  • Users appreciate the automation capabilities of Astro by Astronomer, streamlining workflows and enhancing data orchestration.
  • Users value the deployment ease of Astro by Astronomer, enhancing productivity with simple, reliable, and efficient setups.
Cons
  • Users highlight that Astro by Astronomer can be quite expensive, posing challenges for smaller teams and budget constraints.
  • Users note a steep learning curve with Astro, requiring significant time for adaptation and training.
  • Users find the steep learning curve of Astro challenging, requiring extra time for new team members to adapt.
  • Users note a steep learning curve with Astro, making adaptation challenging for new team members.
  • Users note the feature limitations of Astro, citing high costs and lack of flexibility compared to self-hosting.

What Are Recent G2 Reviews of Astro by Astronomer?

What Are G2 Users Discussing About Astro by Astronomer?

Amazon Redshift

Tens of thousands of customers use Amazon Redshift, a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.

Average Rating: 4.3/5.0

Total Reviews: 371

How Do G2 Users Rate Amazon Redshift?

  • Has the product been a good partner in doing business?: 8.7/10 (Category avg: 8.9/10)
  • Quality of Support: 8.5/10 (Category avg: 8.9/10)
  • Ease of Use: 8.7/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.4/10 (Category avg: 8.6/10)

Who Is the Company Behind Amazon Redshift?

  • Seller: Amazon Web Services (AWS)
  • Year Founded: 2006
  • HQ Location: Seattle, WA
  • Twitter: @awscloud
    2,232,483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    147,094 employees on LinkedIn®
  • Ownership: NASDAQ: AMZN

Who Uses This Product?

  • Who Uses This: Data Engineer, Senior Data Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 40% Large, 39% Medium

What Do G2 Reviewers Say About Amazon Redshift?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the fast querying capabilities of Amazon Redshift, enjoying efficient and smooth data access for large datasets.
  • Users appreciate the seamless integrations of Amazon Redshift, enhancing functionality and efficiency across their data solutions.
  • Users appreciate the ease of use of Amazon Redshift, finding it simple to connect and manage data effectively.
  • Users appreciate the easy integrations with other software and AWS services, enhancing their data management experience.
  • Users appreciate the impressive speed and scalability of Amazon Redshift, enhancing their data warehousing experience significantly.
Cons
  • Users note notable feature limitations in Amazon Redshift, particularly in advanced analytics and cross-language coding.
  • Users find software limitations in Redshift, experiencing issues with performance, concurrency, and data type support.
  • Users face significant complexity in optimizations with Redshift, requiring extensive management and specialized knowledge for effective use.
  • Users face query issues, requiring significant time for optimization, tuning, and managing complexity and concurrency challenges.
  • Users face a significant query optimization challenge with Redshift, requiring considerable effort and specialized knowledge.

What Are Recent G2 Reviews of Amazon Redshift?

What Are G2 Users Discussing About Amazon Redshift?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated